Cadmium uptake and induction of metallothionein synthesis in a renal epithelial cell line (LLC-PK1).

LLC-PK1 cells, an established cell line from pig kidney with proximal tubule properties, were cultivated in vitro at confluence on plastic dishes. They were then exposed (apical side) to inorganic cadmium (CdCl2, 5 microM) for periods ranging between 1 to 24 h. Analysis of the cell supernatant after homogenisation and ultracentrifugation indicated that Cd taken up in the first 3 h was bound to cytosolic high molecular weight proteins, but was redistributed to low molecular weight proteins at later stages. Induction of Cd-metallothionein (Cd-Mt) synthesis, as judged from Cd-Mt binding to a specific anti-Cd-Mt antibody and from the rate of 35S-cys incorporation into a specific protein fraction, was apparent 3-6 h after the addition of Cd to the incubation medium.

Fate of cadmium in rat renal tubules: a microinjection study.

109Cd was injected into the lumen of superficial proximal or distal tubules of rat kidneys, and recovery in the pelvic urine from the ipsilateral kidney was measured. Fractional recovery of labeled inulin always exceeded 90%. About 70% of injected inorganic Cd (CdCl2) was taken up by the epithelium of proximal tubules, while more than 90% of the injected amount was recovered after distal microinjection. The proximal fractional Cd uptake of a 1:1 (molar) Cd-L-cysteine complex was 82%, but was below 60% for a 5-10:1 molar ratio of cysteine:Cd. The chelate Cd-pentetic acid was recovered in final urine nearly quantitatively after proximal or distal microinjection. Fractional uptake of 109Cd from a Cd-metallothionein (Mt) complex, following proximal microinjection, ranged between 17 (Cd-Mt 0.19 mM) and 8% (Cd-Mt 1.5 mM). It is concluded that luminal Cd uptake by the tubular epithelium depends markedly on the chemical form of Cd and, when present, occurs mostly or exclusively in proximal tubules.

Interventions présumées des scribes concernant le motif de l'arbre sacré dans le Pentateuque

Abstract: This article deals with several presumed scribal interventions which all concern the sacred tree motif. One finds deliberate changes in the MT, in the Septuagint, in Targum Onkelos and in the Vulgate. The Greek translators of Genesis and Samuel (1-2 Kingdoms) avoided rendering the word אשׁל "tamarisk" by its equivalent μυρίκη, chosing instead the word ἄρουρα "field". Similarly, the Greek translator of Genesis, in the passage of the death of Rebecca's nurse Deborah, passed over the motif of her burial under a grand tree. According to the hypothesis of the present article, all four changes are related to one other; they might be due to the translator's fear to connect the respective texts with traditions and customs concerning the Egyptian god Osiris. On the other side, a scribe of the proto-Massoretic tradition modified the readings mentioning the large tree of Mamre close to Hebron. By changing the noun's number from singular to plural the corrector tried to conceal the existence and importance of the sacred tree in the tradition of Abraham. By contrast, the scribe did not modify texts related to the sacred tree of Shechem. This disparity of treatment may be explained by the fact that, in the view of the Judean scribe, the tree of Shechem would put the Samaritans in a bad light. Finally, the authors of Targum Onkelos and of the Vulgate intervened almost systematically in Pentateuchal texts having the terms אֵלוֹן) אלון or אַלּוֹן ), which always designate a holy tree. The two expressions are rendered by terms referring to plains (Targum Onkelos) or a valley (Vulgate).

Characterisation of anatomical properties of the human basal ganglia using magnetic resonance imaging

The detailed in-vivo characterization of subcortical brain structures is essential not only to understand the basic organizational principles of the healthy brain but also for the study of the involvement of the basal ganglia in brain disorders. The particular tissue properties of basal ganglia - most importantly their high iron content, strongly affect the contrast of magnetic resonance imaging (MRI) images, hampering the accurate automated assessment of these regions. This technical challenge explains the substantial controversy in the literature about the magnitude, directionality and neurobiological interpretation of basal ganglia structural changes estimated from MRI and computational anatomy techniques. My scientific project addresses the pertinent need for accurate automated delineation of basal ganglia using two complementary strategies: ? Empirical testing of the utility of novel imaging protocols to provide superior contrast in the basal ganglia and to quantify brain tissue properties; ? Improvement of the algorithms for the reliable automated detection of basal ganglia and thalamus Previous research demonstrated that MRI protocols based on magnetization transfer (MT) saturation maps provide optimal grey-white matter contrast in subcortical structures compared with the widely used Tl-weighted (Tlw) images (Helms et al., 2009). Under the assumption of a direct impact of brain tissue properties on MR contrast my first study addressed the question of the mechanisms underlying the regional specificities effect of the basal ganglia. I used established whole-brain voxel-based methods to test for grey matter volume differences between MT and Tlw imaging protocols with an emphasis on subcortical structures. I applied a regression model to explain the observed grey matter differences from the regionally specific impact of brain tissue properties on the MR contrast. The results of my first project prompted further methodological developments to create adequate priors for the basal ganglia and thalamus allowing optimal automated delineation of these structures in a probabilistic tissue classification framework. I established a standardized workflow for manual labelling of the basal ganglia, thalamus and cerebellar dentate to create new tissue probability maps from quantitative MR maps featuring optimal grey-white matter contrast in subcortical areas. The validation step of the new tissue priors included a comparison of the classification performance with the existing probability maps. In my third project I continued investigating the factors impacting automated brain tissue classification that result in interpretational shortcomings when using Tlw MRI data in the framework of computational anatomy. While the intensity in Tlw images is predominantly